FPGA Realization and Lyapunov–Krasovskii Analysis for a Master-Slave Synchronization Scheme Involving Chaotic Systems and Time-Delay Neural Networks

In this paper, the trajectory tracking control and the field programmable gate array (FPGA) implementation between a recurrent neural network with time delay and a chaotic system are presented. The tracking error is globally asymptotically stabilized by means of a control law generated from the Lyap...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Mathematical problems in engineering 2021-09, Vol.2021, p.1-17
Hauptverfasser:	Perez-Padron, J., Posadas-Castillo, C., Paz-Perez, J., Zambrano-Serrano, E., Platas-Garza, M. A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Chaos theory Control theory Dynamical systems Equilibrium Field programmable gate arrays Mathematical functions Mathematical problems Neural networks Recurrent neural networks Synchronism Time lag Tracking control Tracking errors Trajectory control
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!